Reaction systems are a qualitative formalism for modeling systems of biochemical reactions characterized by the non-permanency of the elements: objects (representing molecules) disappear if not produced by any enabled reaction. Reaction systems execute in an environment that provides new objects at each step. Causality properties of reaction systems can be studied by using notions of formula based predictor. In this context, we define a notion of opacity that can be used to study information flow properties for reaction systems. Objects will be partitioned into high level (invisible) and low level (visible) ones. Opacity ensures that the presence (or absence) of high level objects cannot be guessed observing the low level objects only. Such a property is shown to be decidable and computable by exploiting the algorithms for minimal formula based predictors.
Studying Opacity of Reaction Systems through Formula Based Predictors
roberta gori
;paolo milazzo
2017-01-01
Abstract
Reaction systems are a qualitative formalism for modeling systems of biochemical reactions characterized by the non-permanency of the elements: objects (representing molecules) disappear if not produced by any enabled reaction. Reaction systems execute in an environment that provides new objects at each step. Causality properties of reaction systems can be studied by using notions of formula based predictor. In this context, we define a notion of opacity that can be used to study information flow properties for reaction systems. Objects will be partitioned into high level (invisible) and low level (visible) ones. Opacity ensures that the presence (or absence) of high level objects cannot be guessed observing the low level objects only. Such a property is shown to be decidable and computable by exploiting the algorithms for minimal formula based predictors.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
